model utility

Beyond Superficial Forgetting: Thorough Unlearning Through Knowledge Density Estimation and Block Re-Insertion AAAI 2026 BLUR: A Bi-Level Optimization Approach for LLM Unlearning EACL 2026 Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026 Large Language Model Unlearning for Source Code AAAI 2026 Not All Tokens Are Meant to Be Forgotten AAAI 2026 A Certified Unlearning Approach without Access to Source Data ICML 2025 Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time ICML 2025 A General Framework to Enhance Fine-tuning-based LLM Unlearning ACL 2025 Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025 Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR 2025 Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting AAAI 2025 Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025 Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization COLING 2025 Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization ACL 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025 Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025 MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning ICML 2025 MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025 MUSE: Machine Unlearning Six-Way Evaluation for Language Models ICLR 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models EMNLP 2025 On Large Language Model Continual Unlearning ICLR 2025 Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility ICLR 2025 Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench NAACL 2025